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finetune : add --n-gpu-layers flag info to --help (#4128)

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Clark Saben 2023-11-19 11:56:38 -05:00 committed by GitHub
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commit 05e8301e45
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examples/finetune/finetune.cpp
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@ -1288,6 +1288,7 @@ static void train_print_usage(int argc, char ** argv, const struct train_params
fprintf(stderr, " --model-base FNAME model path from which to load base model (default '%s')\n", params->fn_model_base); fprintf(stderr, " --model-base FNAME model path from which to load base model (default '%s')\n", params->fn_model_base);
fprintf(stderr, " --lora-out FNAME path to save llama lora (default '%s')\n", params->fn_lora_out); fprintf(stderr, " --lora-out FNAME path to save llama lora (default '%s')\n", params->fn_lora_out);
fprintf(stderr, " --only-write-lora only save llama lora, don't do any training. use this if you only want to convert a checkpoint to a lora adapter.\n"); fprintf(stderr, " --only-write-lora only save llama lora, don't do any training. use this if you only want to convert a checkpoint to a lora adapter.\n");
fprintf(stderr, " --n-gpu-layers N Number of model layers to offload to GPU (default 0).\n");
fprintf(stderr, " --norm-rms-eps F RMS-Norm epsilon value (default %f)\n", params->f_norm_rms_eps); fprintf(stderr, " --norm-rms-eps F RMS-Norm epsilon value (default %f)\n", params->f_norm_rms_eps);
fprintf(stderr, " --rope-freq-base F Frequency base for ROPE (default %f)\n", params->rope_freq_base); fprintf(stderr, " --rope-freq-base F Frequency base for ROPE (default %f)\n", params->rope_freq_base);
fprintf(stderr, " --rope-freq-scale F Frequency scale for ROPE (default %f)\n", params->rope_freq_scale); fprintf(stderr, " --rope-freq-scale F Frequency scale for ROPE (default %f)\n", params->rope_freq_scale);